Instructions to use XUUUUSID/olmo2-1b-sft-variant-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XUUUUSID/olmo2-1b-sft-variant-R1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("XUUUUSID/olmo2-1b-sft-variant-R1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
olmo2-1b-sft-variant-R1
Research artifacts: OLMo-2-1B training variants produced under controlled data-composition differences; per-seed subfolders; intended for reproducibility and membership/contamination research. Details and provenance will be documented in a future update.
Subfolders
seed20260820seed20260821seed20260822seed20260823seed20260824seed20260825seed20260826seed20260827seed20260828seed20260829
Loading
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "XUUUUSID/olmo2-1b-sft-variant-R1"
sub = "seed20260820"
tok = AutoTokenizer.from_pretrained(repo, subfolder=sub)
model = AutoModelForCausalLM.from_pretrained(repo, subfolder=sub)
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support